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feature standar nb

于 2018-06-25 发布文件大小:2KB

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利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)

文件列表：

1_feature_standar_nb, 0 , 2018-06-12
1_feature_standar_nb\0_test_nb.py, 951 , 2018-06-12
1_feature_standar_nb\1_test_standar.py, 4918 , 2018-06-14

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